Active Localization Strategy for Hypotheses Pruning in Challenging Environments

Andrade, Federico; Llofriu, Martín; Tanco, Mercedes Marzoa; Barnech, Guillermo Trinidad; Tejera, Gonzalo

doi:10.1007/s10846-022-01748-4

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Robots that perform construction tasks need correct information about their positions within their surroundings, and such localization is critical to the success of their tasks [17,18]. Localization problems can be categorized into three types: position tracking, global positioning, and the kidnapped-robot problem [19,20]. At present, techniques used to solve such problems include odometry, probabilistic modeling, simultaneous localization and mapping (SLAM), and radio-frequency identification (RFID) [17,18,21].…”

Section: Positioning and Trackingmentioning

confidence: 99%

“…In particular, odometry refers to the use of motion sensors to measure robots' location changes relative to a known initial position, but its unbounded accumulation of errors limits its localization capability [22]. On the contrary, probabilistic approaches can be used to calculate the probability of a robot being in a certain position within an unknown environment [17], including Markov localization [18], Monte Carlo localization [20], and Kalman-filter localization [23]. Meanwhile, SLAM determines the position and pose of a robot as it moves, and it can simultaneously map the environment.…”

Section: Positioning and Trackingmentioning

confidence: 99%

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Intelligent robots and human–robot collaboration in the construction industry: A review

Wei¹,

Zhang²,

Sun³

et al. 2023

Journal of Intelligent Construction

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Keywords human-robot collaboration (HRC) robotics innovation adaption taxonomyThe construction industry is a typical labor-intensive industry, which suffers from low productivity and labor shortage in the past decades. Recently, the developments in robotics and artificial intelligence technologies highlight the evolutionary reforming potential in the construction industry. An increasing number of robots are joining construction tasks and collaborating with human workers. This study reviews the major developments in intelligent robots and human-robot collaboration (HRC) in the construction industry. The technological foundations and fundamental concepts of construction robots and collaborative robots are reviewed, organized, and discussed to reveal that progress has been made. Based on a comprehensive review, the major challenges and future research directions of HRC have been proposed and examined. This study finally developed a comprehensive and in-depth discussion of the state-ofthe-art implementation of robotics technologies in the construction industry and shed light on its path to future development.

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